Generalized linear model for enhancing the temperature measurement performance in Brillouin optical time domain analysis fiber sensor

Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed...

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Bibliographic Details
Main Authors: Nordin N.D., Zan M.S.D., Abdullah F.
Other Authors: 57217851042
Format: Article
Published: Academic Press Inc. 2023
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Institution: Universiti Tenaga Nasional
Description
Summary:Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed temperature sensing; Generalized linear model; Low signal-to-noise ratio; Temperature prediction; Temperature resolution; Time domain analysis